realme RMX3300 vs realme RMX3300
| realme RMX3300 | realme RMX3300 | Difference | |
|---|---|---|---|
| Single Precision | 276 | 276 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Half Precision | 11138 | 11138 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Quantized | 28425 | 28425 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX3300 | realme RMX3300 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | QNN | QNN |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | realme RMX3300 | realme RMX3300 |
| Processor |
ARM ARMv8 @ 1.78 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.78 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Motherboard | taro | taro |
| Memory | 10.95 GB | 10.95 GB |
AI Performance
| realme RMX3300 | realme RMX3300 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 160 | 160 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Classification (HP) | 8289 | 8289 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Classification (Q) | 23477 | 23477 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Segmentation (SP) | 205 | 205 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Segmentation (HP) | 6698 | 6698 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Segmentation (Q) | 19133 | 19133 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Pose Estimation (SP) | 281 | 281 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Pose Estimation (HP) | 37288 | 37288 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Pose Estimation (Q) | 224878 | 224878 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Object Detection (SP) | 159 | 159 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Object Detection (HP) | 7833 | 7833 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Object Detection (Q) | 11956 | 11956 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Face Detection (SP) | 437 | 437 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Face Detection (HP) | 18442 | 18442 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Face Detection (Q) | 71657 | 71657 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Depth Estimation (SP) | 367 | 367 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Depth Estimation (HP) | 28172 | 28172 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Depth Estimation (Q) | 62638 | 62638 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Style Transfer (SP) | 640 | 640 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Style Transfer (HP) | 39316 | 39316 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Style Transfer (Q) | 215747 | 215747 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Super-Resolution (SP) | 177 | 177 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Super-Resolution (HP) | 21606 | 21606 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Super-Resolution (Q) | 54549 | 54549 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Text Classification (SP) | 246 | 246 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Text Classification (HP) | 1896 | 1896 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Text Classification (Q) | 4407 | 4407 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Machine Translation (SP) | 394 | 394 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Machine Translation (HP) | 2167 | 2167 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Machine Translation (Q) | 1225 | 1225 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
